{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,26]],"date-time":"2026-03-26T19:04:40Z","timestamp":1774551880707,"version":"3.50.1"},"reference-count":65,"publisher":"SAGE Publications","issue":"2","license":[{"start":{"date-parts":[[2022,4,1]],"date-time":"2022-04-01T00:00:00Z","timestamp":1648771200000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Health Informatics J"],"published-print":{"date-parts":[[2022,4]]},"abstract":"<jats:p> Until now most of the studies concerning eHealth in Saudi Arabia are about the exploration of the national benefits from eHealth and the technical and infrastructural challenges in implementing eHealth rather than finding the factors influencing the users in adopting eHealth services. Further, the eHealth adoption rate in Saudi Arabia is low despite the scope of potential growth for the eHealth market. In this study, the authors added Trust, Privacy and System Quality factors to Technology Acceptance Model by considering the research context to examine the factors influencing eHealth services adoption. The proposed model was empirically tested based on the data collected, through survey questionnaire from 314 responses in Saudi Arabia. Structural Equation Modelling was followed to analysis and validates the proposed model based on partial least squares method using SmartPLS. Based on the findings, Perceived Usefulness in addition to Privacy significantly affect eHealth adoption. Moreover, Perceived Ease of Use factor has indirect effect on people perception toward eHealth services. Furthermore, the results show that System Quality and Trust are not influencing factors. This study is important for the healthcare policymakers for getting direction for future studies to avail the maximum benefits of eHealth in Saudi Arabia. <\/jats:p>","DOI":"10.1177\/14604582221102316","type":"journal-article","created":{"date-parts":[[2022,6,15]],"date-time":"2022-06-15T07:00:59Z","timestamp":1655276459000},"update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":27,"title":["An empirical study of factors influencing e-health services adoption among public in Saudi Arabia"],"prefix":"10.1177","volume":"28","author":[{"given":"Abdulwahab Ali","family":"Almazroi","sequence":"first","affiliation":[{"name":"University of Jeddah, College of Computing and Information Technology at Khulais, Department of Information Technology, Jeddah, Saudi Arabia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9571-8095","authenticated-orcid":false,"given":"Fathey","family":"Mohammed","sequence":"additional","affiliation":[{"name":"School of Computing, Universiti Utara Malaysia, Sintok, Malaysia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3249-3714","authenticated-orcid":false,"given":"Nabil Hasan","family":"Al-Kumaim","sequence":"additional","affiliation":[{"name":"Faculty of Technology Management and Technopreneurship, Universiti Teknikal Malaysia, Melaka, Malaysia"}]},{"given":"Md Rakibul","family":"Hoque","sequence":"additional","affiliation":[{"name":"Emporia State University, KS, USA"}]}],"member":"179","published-online":{"date-parts":[[2022,6,15]]},"reference":[{"key":"bibr1-14604582221102316","volume-title":"eHealth market 2020-2025 survey report along with statistics","author":"Data Bridge Market Research","year":"2020"},{"key":"bibr2-14604582221102316","unstructured":"Digital Health. 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